Literature DB >> 20547413

Predicting phosphorus concentrations in British rivers resulting from the introduction of improved phosphorus removal from sewage effluent.

Michael J Bowes1, Colin Neal, Helen P Jarvie, Jim T Smith, Helen N Davies.   

Abstract

Phosphorus (P) concentration and flow data gathered during the 1990s for a range of British rivers were used to determine the relative contributions of point and diffuse inputs to the total P load, using the Load Apportionment Model (LAM). Heavily urbanised catchments were dominated by sewage inputs, but the majority of the study catchments received most of their annual phosphorus load from diffuse sources. Despite this, almost 80% of the study sites were dominated by point source inputs for the majority of the year, particularly during summer periods when eutrophication risk is greatest. This highlights the need to reduce sewage P inputs to improve the ecological status of British rivers. These modelled source apportionment estimates were validated against land-use data and boron load (a chemical marker for sewage). The LAM was applied to river flow data in subsequent years, to give predicted P concentrations (assuming no change in P source inputs), and these estimates were compared with observed concentration data. This showed that there had been significant reductions in P concentration in the River Thames, Aire and Ouse in the period 1999 to 2002, which were attributable to the introduction of P stripping at sewage treatment works (STW). The model was then used to forecast P concentrations resulting from the introduction of P removal at STW to a 2 or 1mgl(-1) consent limit. For the urbanised rivers in this study, the introduction of phosphorus stripping to a 1mgl(-1) consent level at all STW in the catchment would not reduce P concentrations in the rivers to potentially limiting concentrations. Therefore, further sewage P stripping will be required to comply with the Water Framework Directive. Diffuse P inputs may also need to be reduced before some of the highly nutrient-enriched rivers achieve good ecological status. Crown Copyright 2010. Published by Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20547413     DOI: 10.1016/j.scitotenv.2010.05.016

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  6 in total

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2.  Prediction of dissolved oxygen concentration in hypoxic river systems using support vector machine: a case study of Wen-Rui Tang River, China.

Authors:  Xiaoliang Ji; Xu Shang; Randy A Dahlgren; Minghua Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-23       Impact factor: 4.223

3.  Forecasting riverine total nitrogen loads using wavelet analysis and support vector regression combination model in an agricultural watershed.

Authors:  Xiaoliang Ji; Jun Lu
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-07       Impact factor: 4.223

4.  Phosphorus removal from the hyper-eutrophic Lake Caohai (China) with large-scale water hyacinth cultivation.

Authors:  Yingying Zhang; Haiqin Liu; Shaohua Yan; Xuezheng Wen; Hongjie Qin; Zhi Wang; Zhiyong Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2019-03-20       Impact factor: 4.223

5.  Temporal variability in nutrient concentrations and loads in the River Tamar and its catchment (SW England) between 1974 and 2004.

Authors:  Alan D Tappin; Utra Mankasingh; Ian D McKelvie; Paul J Worsfold
Journal:  Environ Monit Assess       Date:  2012-10-11       Impact factor: 2.513

6.  The application of high temporal resolution data in river catchment modelling and management strategies.

Authors:  L Crockford; S O'Riordain; D Taylor; A R Melland; G Shortle; P Jordan
Journal:  Environ Monit Assess       Date:  2017-08-21       Impact factor: 2.513

  6 in total

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